This repository contains scripts for high-resolution area-wide mapping and 3D modeling of urban forests based on LiDAR point clouds. The workflow is designed for widely available LiDAR point clouds with a density of at least 4 pts/m² and has been published in this article. https://doi.org/10.1016/j.ufug.2022.127637 Processing steps:
The algorithms for the urban forest classification up to the
parameterization of individual tree crowns are implemented as ready-to-use workflow in
R.
Solely for the last step, the 3D modeling of the trees in the CityGML
schema, the proprietary software FME from Safe
Software is used. The FME
Workbench created to generate the semantic 3D tree models as well as
prototypic 3D tree models are
available in this repository.
Gridded building roof heights can be used as supplementary data for the
identification of roof points. A PostgreSQL script to rasterize
roofs heights for 3D city models stored in a 3D City DatabasB is
included in the repository.